Freelance Fullstack Engineers in DadriFreelance Fullstack Engineers in Dadri
Design & development for Framer, Webflow & Shopify sites
$25k+
Earned
15x
Hired
4.9
Rating
116
Followers
Design & development for Framer, Webflow & Shopify sites
Senior Product Designer & Full-Stack Partner
$25k+
Earned
11x
Hired
4.9
Rating
149
Followers
Senior Product Designer & Full-Stack Partner
Full Stack Developer | MVPs, SaaS & Dashboards for Startups
$10k+
Earned
4x
Hired
4.9
Rating
22
Followers
Full Stack Developer | MVPs, SaaS & Dashboards for Startups
Building MVPs for startup founders with clean UX in a week.
1x
Hired
5.0
Rating
58
Followers
Building MVPs for startup founders with clean UX in a week.
AI Automation | Full-Stack Dev | Web3 | 8× 🏆 Hackathon
5.0
Rating
27
Followers
AI Automation | Full-Stack Dev | Web3 | 8× 🏆 Hackathon
Full Stack AI & Machine Learning Engineer
$1k+
Earned
1x
Hired
43
Followers
Full Stack AI & Machine Learning Engineer
🌟Top Full stack Dev Crafting OUTSTANDING Web & Mobile Apps
5.0
Rating
4
Followers
🌟Top Full stack Dev Crafting OUTSTANDING Web & Mobile Apps
Full Stack Developer
7
Followers
Full Stack Developer
Cover image for AI Resume Screening | Candidate
AI Resume Screening | Candidate Ranking System | AI HR Recruiter | ATS CV/Resume Optimization 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄 Recruiters often spend hours manually reviewing resumes, comparing candidate qualifications, and identifying the best fit for open positions. To address this challenge, I developed an AI-powered Resume Screening and Candidate Ranking Platform that automates candidate evaluation, improves hiring efficiency, and reduces recruitment time. 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 Traditional recruitment processes involve reviewing hundreds of resumes for a single position. This manual approach is time-consuming, inconsistent, and often results in qualified candidates being overlooked. Recruiters needed a solution capable of quickly analyzing resumes, matching them against job requirements, and generating reliable candidate rankings. 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 I built an intelligent recruitment platform that leverages Artificial Intelligence and Natural Language Processing (NLP) to automate resume analysis and candidate assessment. 𝗞𝗲𝘆 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: - ATS-compatible resume parsing for PDF and DOCX files - Automated extraction of skills, experience, education, certifications, and contact information - AI candidate matching based on job descriptions - Intelligent candidate scoring and ranking system - Semantic skill matching using NLP techniques - Automated shortlist generation for recruiters - Recruiter dashboard for managing applications and rankings - Bulk resume processing for high-volume recruitment - Interview recommendation system based on candidate fit - Fair and consistent evaluation framework to reduce manual bias 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 The platform was designed with scalability and accuracy in mind. The workflow begins by parsing uploaded resumes and extracting structured candidate data. AI models then compare candidate profiles against job requirements, analyzing technical skills, years of experience, educational background, and industry relevance. A ranking engine generates compatibility scores and presents candidates in order of suitability. Recruiters can review detailed scoring insights, compare applicants, and make faster hiring decisions. 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 The solution significantly improved recruitment efficiency and candidate discovery. 𝗢𝘂𝘁𝗰𝗼𝗺𝗲𝘀 > Reduced manual resume screening time by up to 80% > Accelerated candidate shortlisting process > Improved recruiter productivity and hiring speed > Increased consistency in candidate evaluation > Enabled processing of hundreds of resumes within minutes > Enhanced talent identification through AI-driven matching 𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻 This AI recruitment platform transforms traditional hiring workflows by automating resume screening, ranking candidates intelligently, and helping recruiters identify top talent faster, more accurately, and at scale.
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